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Writing Pipeline

作者 shing19 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
97
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install writing-pipeline
功能描述
内容再创作管线:输入参考资料 → AI 生成中文初稿 → 人工改稿 → 系统对比学习写作偏好 → 多平台格式输出。 支持自动路由——根据输入材料特征自动匹配最合适的写作风格。
安全使用建议
This skill mostly does what it says (draft → review → publish) but contains two noteworthy risks: (1) it instructs the agent to modify other 'writing-style' skills after learning from edits, and (2) it orchestrates many helper skills (deepreader, x_search, infographic-gen, etc.) without declaring their credentials or access requirements. Before installing: 1) Confirm you trust the owner/source (unknown here). 2) Verify how the platform enforces user confirmation — ensure the agent cannot auto-confirm updates that modify other skills. 3) Back up the skill directories and any writing-style skills that could be changed. 4) Audit the helper skills (deepreader, x_search, etc.) to see whether they require API keys or have network/exfil behavior. 5) If you allow updates to other skills, require explicit, per-change user approval and maintain an audit log. If you cannot verify those controls, treat this skill as higher risk and consider running it in a restricted environment or refusing permission to modify other skills.
功能分析
Type: OpenClaw Skill Name: writing-pipeline Version: 1.0.0 The writing-pipeline skill bundle orchestrates a complex multi-stage workflow involving content generation, style adaptation, and multi-platform publishing. It exhibits high-risk behaviors, specifically the capability to modify other writing-style skill files based on an AI-driven 'Diff-and-Learn' process (detailed in SKILL.md and references/diff-learn.md), which could be targeted by indirect prompt injection. While the logic appears aligned with its stated purpose, the combination of broad file system access, orchestration of numerous external skills, and self-modification of the agent's own skill library warrants a suspicious classification.
能力评估
Purpose & Capability
The skill declares a content re‑writing pipeline and its file layout; most read/write operations (saving references, drafts, metadata) align with that purpose. However, the SKILL.md explicitly instructs the agent — after user confirmation — to 'execute updates' to other writing-style skill files (i.e., modify other skills' files/config). That capability is broader than a pipeline's typical remit and is not reflected in any declared requirements or config paths, creating a privilege/scope mismatch.
Instruction Scope
The instructions perform many filesystem operations (create project dirs, save references and sidecar JSON, copy drafts to final.md, write README.md, output assets). They also instruct using other skills (deepreader, x_search, viewpoint-extractor, infographic-gen, wechat-cover, xiaohongshu-cards, and various writing-style-* skills). Most actions are reasonable for a pipeline, but two items stand out as problematic: (1) the snippet showing an import/use of deepreader_skill (implies executing or importing external code), and (2) the explicit flow to edit other skills' files after diff analysis. The SKILL.md does not constrain or document how those cross-skill modifications are authorized or audited.
Install Mechanism
This is instruction-only with no install spec and no bundled code — lower risk in terms of arbitrary code installation. No external download URLs or install scripts are present.
Credentials
The skill declares no required environment variables or credentials, which is consistent with being an orchestration/instruction-only skill. However, it expects to call multiple helper skills (deepreader, x_search, etc.) that in practice may require API keys or access tokens. The skill does not declare or request those credentials nor does it state who provides them. That omission can lead to surprising behavior if those helper skills prompt for or use credentials.
Persistence & Privilege
always:false is appropriate, but the documented ability to propose and then 'execute corresponding skill file updates' grants this skill potential write/modify access to other skills' code/config. Allowing a skill to programmatically change other skills increases blast radius and should be explicitly authorized, logged, and restricted — none of which is described here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install writing-pipeline
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /writing-pipeline 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
initial publish
元数据
Slug writing-pipeline
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Writing Pipeline 是什么?

内容再创作管线:输入参考资料 → AI 生成中文初稿 → 人工改稿 → 系统对比学习写作偏好 → 多平台格式输出。 支持自动路由——根据输入材料特征自动匹配最合适的写作风格。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 97 次。

如何安装 Writing Pipeline?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install writing-pipeline」即可一键安装,无需额外配置。

Writing Pipeline 是免费的吗?

是的,Writing Pipeline 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Writing Pipeline 支持哪些平台?

Writing Pipeline 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Writing Pipeline?

由 shing19(@shing19)开发并维护,当前版本 v1.0.0。

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